PHPCLANCHILDES with regular expressions

3 matches in 1 utterance

1.93 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (374 utterances, 1,556 words searched).

  1. au_revoir [/] au_revoir [/] au_revoir ! MOT · french/lyon_nat09b.cha, line 846 · Nathan 1;04
  2. au_revoir [/] au_revoir [/] au_revoir ! MOT · french/lyon_nat09b.cha, line 846 · Nathan 1;04
  3. au_revoir [/] au_revoir [/] au_revoir ! MOT · french/lyon_nat09b.cha, line 846 · Nathan 1;04
  1. french/lyon_nat09b.cha, line 846 · Nathan, 1;4.23
    MOTau_revoi:r petit doigt . 1110667_1117862
    MOTa:h coucou ! 1117862_1124813
    MOT*MOT: au_revoir [/] au_revoir [/] au_revoir !
    MOTyyy yyy non yyy non [/] non [/] non [/] non [/] non [/] non [/] non . 1124813_1132740
    MOTyyy yyy yyy coucou ! 1132740_1138702

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Nathan french1.93
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat09b.chaNathan 1;4.231,556131.93

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. au_revoir3 · 100.0%